Error detection refers to the process of identifying errors or anomalies within data or systems. It is commonly used in fields like computer science, telecommunications, and data processing. The frequency of use is high, especially in technical and academic writing, but it is also encountered in oral discussions regarding technology and data integrity.
Example sentences: 1. Error detection is a critical step in ensuring data integrity in software applications. - Translation: La detección de errores es un paso crítico para garantizar la integridad de los datos en aplicaciones de software.
Translation: Se han desarrollado muchos algoritmos para una detección eficiente de errores en las comunicaciones digitales.
The new software includes advanced error detection features to improve reliability.
While "error detection" itself may not part of many idiomatic expressions, it can be associated with phrases related to quality control, troubleshooting, and data analysis.
Translation: Atrapar el error en el acto.
A stitch in time saves nine. (Referring to the importance of early error detection)
Translation: Un punto a tiempo ahorra nueve.
To err is human; to correct is divine.
Translation: Errar es humano; corregir es divino.
Look for faults in the system before they escalate.
The term "error" comes from the Latin word "error", meaning 'a wandering' or 'a mistake'. The word "detection" is derived from the Latin "detectio", which means 'disclosure, discovery'. Together, "error detection" signifies the act of discovering mistakes.
Synonyms: - Fault finding - Bug identification - Anomaly detection
Antonyms: - Error correction (though not a strict antonym, it represents a complementary process) - Perfection
In summary, "error detection" is a significant term in technical domains referring to processes used to find errors within systems. Though not a part of many idiomatic expressions, it is essential in various contexts for ensuring quality and reliability. The term has roots in Latin, affirming its established usage in English, both in written and spoken formats.